Title :
A geometrical a priori for capturing the regularity of images
Author :
Gousseau, Yann ; Roueff, Francois
Author_Institution :
LTCI, GET, Telecom Paris, Paris, France
Abstract :
We first briefly recall how to model occlusion and scaling in natural images through the use of a stochastic model, the scaling dead leaves model. Then we give a statistical estimator for its scaling parameters, which are related to the regularity of images. Last we show how this model can be used as an a priori for image denoising, in the framework of wavelet coefficients thresholding.
Keywords :
image capture; image denoising; statistical analysis; stochastic processes; geometrical a priori; image denoising; image regularity capturing; model occlusion; natural images; scaling dead leave model; scaling parameters; statistical estimator; stochastic model; wavelet coefficient thresholding; Bayes methods; Computational modeling; Estimation; Image denoising; Noise; Noise reduction; Wavelet transforms;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Print_ISBN :
978-160-4238-21-1
